update app.py

app.py

@@ -1,5 +1,3 @@
-# app.py
-
 import gradio as gr
 from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
 import pandas as pd
@@ -49,16 +47,13 @@ try:
 except Exception:
     restart_space()
 
-
+# Load the leaderboard DataFrame
 LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)
 print("LEADERBOARD_DF Shape:", LEADERBOARD_DF.shape)  # Debug
 print("LEADERBOARD_DF Columns:", LEADERBOARD_DF.columns.tolist())  # Debug
 
-(
-    finished_eval_queue_df,
-    running_eval_queue_df,
-    pending_eval_queue_df,
-) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
+# Load the evaluation queue DataFrames
+finished_eval_queue_df, running_eval_queue_df, pending_eval_queue_df = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
 
 demo = gr.Blocks(css=custom_css)
 with demo:
@@ -95,7 +90,6 @@ with demo:
                             "still_on_hub", type="boolean", label="Deleted/incomplete", default=True
                         ),
                     ],
-
                     bool_checkboxgroup_label="Hide models",
                     interactive=False,
                 )
@@ -127,12 +121,6 @@ with demo:
                         value=None,
                         interactive=True,
                     )
-                    # Removed num_examples_input since we're using a fixed number
-                    # num_examples_input = gr.Number(
-                    #     label="Number of Examples per Subject (e.g., 10)",
-                    #     value=10,
-                    #     precision=0
-                    # )
 
                 with gr.Column():
                     precision = gr.Dropdown(
@@ -162,7 +150,6 @@ with demo:
                     precision,
                     weight_type,
                     model_type,
-                    # num_examples_input  # Removed
                 ],
                 submission_result,
             )